We propose neural stress fields, a method for reduced-order modeling of elastoplastic materials and fracture mechanics. By representing stress fields using neural networks, we enable efficient simulation of complex material behaviors including plasticity and fracture. This approach facilitates real-time simulation of challenging scenarios in computer graphics and virtual reality applications while maintaining physical accuracy.